Literature DB >> 25761332

Perceptual biases and cue weighting in perception of 3D slant from texture and stereo information.

Jeffrey A Saunders1, Zhongting Chen1.   

Abstract

Multiple cues are typically available for perceiving the 3D slant of surfaces, and slant perception has been used as a test case for investigating cue integration. Previous evidence suggests that texture and stereo slant cues contribute in an optimal Bayesian manner. We tested whether a Bayesian model could also account for perceptual underestimation of slant from texture. One explanation proposed by Todd, Christensen, and Guckes (2010) is that slant from texture is based on an inaccurate optical variable. An alternative Bayesian explanation is that perceptual underestimation is due to the influence of frontal cues and/or a frontal prior, which is weighted according to the reliability of slant cues. We measured slant perception using a hand-alignment task for conditions that provided only texture, only stereo, or combined texture and stereo cues. Slant estimates from monocular texture showed large biases toward frontal, with proportionally more underestimation at low slants than high slants. Slant estimates from stereo alone were more accurate, and adding texture information did not reduce accuracy. These results are consistent with a frontal influence that is decreasingly weighted as slant information becomes more reliable. We also included conditions with small cue conflicts to measure the relative weighting of texture and stereo cues. Consistent with previous studies, texture had a significant effect on slant estimates in binocular conditions, and the relative weighting of texture increased with slant. In some cases, perceived slant from combined stereo and texture cues was higher than from either cue in isolation. Both the perceptual biases and the cue weights were generally consistent with a Bayesian model that optimally integrates texture and stereo slant cues with frontal cues and/or a frontal prior.
© 2015 ARVO.

Keywords:  Bayesian model; cue combination; slant perception; stereo; texture

Mesh:

Year:  2015        PMID: 25761332     DOI: 10.1167/15.2.14

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  5 in total

1.  Unique Neural Activity Patterns Among Lower Order Cortices and Shared Patterns Among Higher Order Cortices During Processing of Similar Shapes With Different Stimulus Types.

Authors:  Zhen Li; Hiroaki Shigemasu
Journal:  Iperception       Date:  2021-05-26

2.  Proscription supports robust perceptual integration by suppression in human visual cortex.

Authors:  Reuben Rideaux; Andrew E Welchman
Journal:  Nat Commun       Date:  2018-04-17       Impact factor: 14.919

3.  Experimentally disambiguating models of sensory cue integration.

Authors:  Peter Scarfe
Journal:  J Vis       Date:  2022-01-04       Impact factor: 2.240

4.  The experience of stereoblindness does not improve use of texture for slant perception.

Authors:  Pin Yang; Jeffrey A Saunders; Zhongting Chen
Journal:  J Vis       Date:  2022-04-06       Impact factor: 2.004

5.  Multiple texture cues are integrated for perception of 3D slant from texture.

Authors:  Zhongting Chen; Jeffrey A Saunders
Journal:  J Vis       Date:  2020-07-01       Impact factor: 2.240

  5 in total

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